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Paper Citation Record · LEDGER

InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.09149.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.09149 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:26:40.899331Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 61b4aab4-62b2-475d-8ee1-443922e1e0f6 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.356162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:fa8f4569ae76ee69a0cded9fbe826c30e465cd8be72d052a26d4a3152eb165e8

Observation 0f95091f-4942-4288-b96d-f2745c75f862 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 144

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.287109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:bea7fb0c062066b837aea9514f60a730b1f6d2b5c399101881f820f455f307b7

Observation fa18bbc3-f7d0-45c5-afa0-a46305ab6548 · inbound

TokenRing: An Efficient Parallelism Framework for Infinite-Context LLMs via Bidirectional Communication cites this paper.

TokenRing: An Efficient Parallelism Framework for Infinite-Context LLMs via Bidirectional Communication InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T23:26:40.899331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:26:40.899331Z digest=sha256:9e2c67d6aaffe722960b61cf03b86e0d1651de48fbe55b5306827760a3de68d8

Observation e3d21145-a208-4817-9d02-ecc69d364c03 · inbound

Automatically Planning Optimal Parallel Strategy for Large Language Models cites this paper.

Automatically Planning Optimal Parallel Strategy for Large Language Models InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T22:59:59.087684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:59:59.087684Z digest=sha256:71425ff96b677115e2ab78a8ca44eb08f008fbe3e94534fae5ad86ab5aab5ebe

Observation c777bb48-c43a-44be-9197-3c0d73e0aa55 · inbound

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models cites this paper.

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:41:08.230480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T13:41:07.991012Z digest=sha256:e22541fc5ffd5d6cc00edaa1be9112514059a2cc63e03bbf2fcd3d933ee27765

Observation 728ec1b9-2bb4-4e7f-8f22-4105612336b3 · inbound

HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware cites this paper.

HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:00:55.614417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T03:00:19.355357Z digest=sha256:4edc38ec5cb7c4ade33fab64f0bf9cf2b81d5dbd0633087592d934e80c36683b